An Algerian Corpus and an Annotation Platform for Opinion and Emotion Analysis - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2020

An Algerian Corpus and an Annotation Platform for Opinion and Emotion Analysis

Résumé

In this paper, we address the lack of resources for opinion and emotion analysis related to North African dialects, targeting Algerian dialect. We present TWIFIL (TWItter proFILing) a collaborative annotation platform for crowdsourcing annotation of tweets at different levels of granularity. The plateform allowed the creation of the largest Algerian dialect dataset annotated for both sentiment (9,000 tweets), emotion (about 5,000 tweets) and extra-linguistic information including author profiling (age and gender). The annotation resulted also in the creation of the largest Algerien dialect subjectivity lexicon of about 9,000 entries which can constitute a valuable resources for the development of future NLP applications for Algerian dialect. To test the validity of the dataset, a set of deep learning experiments were conducted to classify a given tweet as positive, negative or neutral. We discuss our results and provide an error analysis to better identify classification errors.
Fichier principal
Vignette du fichier
An Algerian Corpus and an Annotation Platform for Opinion and Emotion Analysis.pdf (209.41 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-03102495 , version 1 (08-01-2021)

Licence

Paternité - Pas d'utilisation commerciale - Pas de modification

Identifiants

  • HAL Id : hal-03102495 , version 1

Citer

Leila Moudjari, Karima Akli-Astouati, Farah Benamara. An Algerian Corpus and an Annotation Platform for Opinion and Emotion Analysis. 12th Language Resources and Evaluation Conference, LREC 2020, May 2020, Marseille, France. pp.1202-1210. ⟨hal-03102495⟩
241 Consultations
247 Téléchargements

Partager

Gmail Facebook X LinkedIn More